Identification and Validation of the Pyroptosis-Related Hub Gene Signature and the Associated Regulation Axis in Diabetic Keratopathy

被引:2
|
作者
Cui, Yi [1 ,2 ]
Wang, Li [1 ]
Liang, Wentao [2 ]
Huang, Li [1 ]
Zhuang, Shuting [3 ]
Shi, Hong [3 ]
Xu, Nuo [4 ]
Hu, Jianzhang [1 ]
机构
[1] Fujian Med Univ, Union Hosp, Dept Ophthalmol, Fuzhou, Fujian, Peoples R China
[2] Wake Forest Univ Bowman Gray Sch Med, Dept Biochem, Winston Salem, NC 27101 USA
[3] Fujian Univ Tradit Chinese Med, Coll Integrated Tradit Chinese & Western Med, Fuzhou, Fujian, Peoples R China
[4] Fujian Med Univ, Fujian Prov Hosp, Dept Ophthalmol, Shengli Clin Med Coll, Fuzhou, Fujian, Peoples R China
关键词
NF-KAPPA-B; R PACKAGE; INFLAMMATORY RESPONSE; CORNEAL SENSITIVITY; DOWN-REGULATION; EXPRESSION; DATABASE; MODULATION; RATS;
D O I
10.1155/2024/2920694
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background. Diabetic keratopathy (DK) poses a significant challenge in diabetes mellitus, yet its molecular pathways and effective treatments remain elusive. The aim of our research was to explore the pyroptosis-related genes in the corneal epithelium of the streptozocin-induced diabetic rats. Methods. After sixteen weeks of streptozocin intraperitoneal injection, corneal epithelium from three diabetic rats and three normal groups underwent whole-transcriptome sequencing. An integrated bioinformatics pipeline, including differentially expressed gene (DEG) identification, enrichment analysis, protein-protein interaction (PPI) network, coexpression, drug prediction, and immune deconvolution analyses, identified hub genes and key drivers in DK pathogenesis. These hub genes were subsequently validated in vivo through RT-qPCR. Results. A total of 459 DEGs were screened out from the diabetic group and nondiabetic controls. Gene Set Enrichment Analysis highlighted significant enrichment of the NOD-like receptor, Toll-like receptor, and NF-kappa B signaling pathways. Intersection of DEGs and pyroptosis-related datasets showed 33 differentially expressed pyroptosis-related genes (DEPRGs) associated with pathways such as IL-17, NOD-like receptor, TNF, and Toll-like receptor signaling. A competing endogenous RNA network comprising 16 DEPRGs, 22 lncRNAs, 13 miRNAs, and 3 circRNAs was constructed. After PPI network, five hub genes (Nfkb1, Casp8, Traf6, Ptgs2, and Il18) were identified as upregulated in the diabetic group, and their expression was validated by RT-qPCR in streptozocin-induced rats. Immune infiltration characterization showed that diabetic corneas owned a higher proportion of resting mast cells, activated NK cells, and memory-resting CD4 T cells. Finally, several small compounds including all-trans-retinoic acid, Chaihu Shugan San, dexamethasone, and resveratrol were suggested as potential therapies targeting these hub genes for DK. Conclusions. The identified and validated hub genes, Nfkb1, Casp8, Traf6, Ptgs2, and Il18, may play crucial roles in DK pathogenesis and serve as therapeutic targets.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients
    Zhang, Yize
    Xi, Feiyang
    Yu, Qing
    Lou, Weiming
    Zeng, Ziqiang
    Su, Ning
    Gao, Jianying
    Duan, Sainan
    Deng, Ying
    Guo, Sixuan
    Lai, Shuhui
    Tang, Xiaoli
    Zhang, Jicai
    ANNALS OF TRANSLATIONAL MEDICINE, 2021, 9 (24)
  • [42] Predicting the Prognosis of Esophageal Adenocarcinoma by a Pyroptosis-Related Gene Signature
    Zeng, Ruijie
    Huang, Shujie
    Qiu, Xinqi
    Zhuo, Zewei
    Wu, Huihuan
    Jiang, Lei
    Sha, Weihong
    Chen, Hao
    FRONTIERS IN PHARMACOLOGY, 2021, 12
  • [43] Identification of pyroptosis-related immune signature and drugs for ischemic stroke
    Shi, Shanshan
    Zhang, Qi
    Qu, Changda
    Tang, Yushi
    Qu, Yewei
    Wen, Shirong
    Sun, Ruohan
    Pan, Yujun
    FRONTIERS IN GENETICS, 2022, 13
  • [44] A pyroptosis-related gene signature for prognosis prediction in hepatocellular carcinoma
    Chen, Yongwei
    Zhu, Yanyun
    Dong, Yuanmei
    Li, Huizi
    Gao, Chumeng
    Zhu, Guoqiang
    Mi, Xiao
    Li, Chengcheng
    Xu, Yu
    Wang, Guoqiang
    Cai, Shangli
    Han, Yusheng
    Xu, Chunwei
    Wang, Wenxian
    Yang, Shizhong
    Ji, Wenbin
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [45] Predicting the prognosis in patients with sepsis by a pyroptosis-related gene signature
    Liang, Shuang
    Xing, Manyu
    Chen, Xiang
    Peng, Jingyi
    Song, Zongbin
    Zou, Wangyuan
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [46] Identification and validation of a pyroptosis-related signature in identifying active tuberculosis via a deep learning algorithm
    Liu, Yuchen
    Zhang, Lifan
    Wu, Fengying
    Liu, Ye
    Li, Yuanchun
    Chen, Yan
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2023, 13
  • [47] A pyroptosis-related gene signature predicting survival and tumor immune microenvironment in breast cancer and validation
    Gong, Mingkai
    Liu, Xiangping
    Zhao, Xian
    Wang, Haibo
    BMC CANCER, 2022, 22 (01)
  • [48] Pyroptosis-related gene signature for predicting gastric cancer prognosis
    Khamis, Salem Saeed Saad
    Lu, Jianhua
    Yi, Yongdong
    Rao, Shangrui
    Sun, Weijian
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [49] Pyroptosis-related gene signature elicits immune response in rosacea
    Hu, Xi-min
    Zheng, Sheng-yuan
    Mao, Rui
    Zhang, Qi
    Wan, Xin-xing
    Zhang, Yi-ya
    Li, Ji
    Yang, Rong-hua
    Xiong, Kun
    EXPERIMENTAL DERMATOLOGY, 2024, 33 (01)
  • [50] Pyroptosis-Related Gene Signature and Expression Patterns in the Deterioration of Atherosclerosis
    Wu, Yan
    Ma, Qi
    Wang, Xudong
    Wei, Tianci
    Tian, Jiawei
    Zhang, Wenjing
    DISEASE MARKERS, 2022, 2022